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quant-ph2025
Learning Minimal Representations of Fermionic Ground States
Felix Frohnert, Emiel Koridon, Stefano Polla
We introduce an unsupervised machine-learning framework that discovers optimally compressed representations of quantum many-body ground states. Using an autoencoder neural network…
hep-ph2025★ 1 cited
Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation
Felix Frohnert, Denny Lane B. Sombillo, Evert van Nieuwenburg +1
Matching theoretical predictions to experimental data remains a central challenge in hadron spectroscopy. In particular, the identification of new hadronic states is difficult, as…